Summary
This article develops a rank based inference using a dispersion function for repeated measures incomplete block designs (IBD) with baseline values as covariates. Scores, Waldtype and drop in dispersion tests are developed for testing slope equals zero and equality of treatment effects. Multiple comparison procedures are also developed usingR-estimators which are obtained by minimizing a piece-wise linear dispersion function. A consistent estimator of a scale parameter, which appears in test statistic as a standardizing constant, is discussed. A data set from pharmaceutical research, which compares 12μg and 24μg formoterol (asthma drug) solution aerosol with a placebo treatment, is analyzed using the result of this article.
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Part of this work was completed when the author was a faculty member at Worcester Polytechnic Institute. Worcester, Massachusetts. The view expressed in this article are those of the author and not those of the United States. Food and Drug Administration.
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Rashid, M.M. On the use ofR-estimators in analyzing repeated measures incomplete block clinical trials with baseline values as covariates. J. It. Statist. Soc. 5, 261–284 (1996). https://doi.org/10.1007/BF02589176
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DOI: https://doi.org/10.1007/BF02589176